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Background and objectives: Non-alcoholic fatty liver disease (NAFLD) is characterized by ectopic deposition of fat in the liver, in the absence of other secondary causes of fat buildup. The relationship between NAFLD, including alanine aminotransferase (ALT), and glycated haemoglobin (HbA1c), is important for predicting the severity of disease and prognosis. This study aims to investigate the association of HbA1c in type 2 diabetes mellitus (T2DM) patients with NAFLD via measuring the ALT levels. Materials and methods: This retrospective cross-sectional study enroled 130 patients with T2DM and NAFLD. The association between levels of HbA1c and ALT in patients of NAFLD with controlled and uncontrolled T2DM, respectively, was investigated. Stratification was done based on gender and diabetic control, using HbA1c levels as a marker of glycemic control. Serum ALT levels were also compared in both groups. Results: The mean age of the participants was 50.2±5.7 years. The total participants were 130, of which 77 (59.3%) were females and 53 (40.7%) were males. The numbers of patients having uncontrolled T2DM (HbA1c>7%), and controlled T2DM (HbA1c <7%) were 78 (60%) and 52 (40%), respectively. Moreover, 46 (35.3%) females and 32 (24.7%) males had uncontrolled T2DM, and 31 (23.8%) females and 21 (16.2%) males had controlled T2DM. The mean ALT level for uncontrolled and controlled T2DM in female patients was found to be 24.6±3.4 and 13.5±2.4, respectively, (P <0.05). For male patients, it was found to be 54.0±4.9 and 29.1±5.4, respectively (P=0.008). Conclusion: There is a positive association between elevated HbA1c and ALT levels in T2DM patients with NAFLD.
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Increasing use of technology in medical education has caused concerns to medical teachers pertaining to the quality of digital learning environments. Thus, this review aimed to unearth the functional components of effective technology-enhanced learning environment in the undergraduate medical education context. The revised Arksey and O'Malley protocol was utilized that include identification of research question and relevant studies, selection of studies, data charting and collection, and collating, summarizing, and reporting results after consultation. We discovered nine components with 25 subcomponents of 74 functional elements found to be present in effective online learning environments. The nine components include cognitive enhancement, content curation, digital capability, technological usability, pedagogical practices, learner characteristics, learning facilitator, social representations, and institutional support. There is an interplay between these components, influencing each other in online learning platforms. A technology-enhanced learning in medical education (TELEMEd) model is proposed which can be used as a framework for evaluating online learning environment in medical education. Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01747-6.
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Introduction: Thalassemia is a genetically complex disorder that evolves from a mutation in the beta chain of hemoglobin. Much work has been done on the common mutations, but some rare mutations have been found that impact and diversify the disease spectrum. Case presentation: Our case report is on a young adult who presented with anemia, gall stones, and off-and-on transfusion dependency. A detailed workup revealed that the patient was suffering from thalassemia intermedia. The interesting finding was that the patient, product of non-consanguineous marriage was homozygous for beta thalassemia mutation on genetic analysis. A detailed genetic analysis of the parents revealed them as carriers for the same mutation. It was found that patient was homozygous for a rare and novel mutation -88(C > A)[HBB:c.-138C > A] on whole gene sequencing. Discussion: The area of genomics in thalassemia is rapidly growing, and our case report aims to update the current knowledge of thalassemia's genomic information in Pakistan. The mutation found in our patient was -88(C > A)[HBB:c.-138C > A], and the data provided by the National Library of Medicine for this mutation as Allele ID: 380597 and variant type of single nucleotide variant shows that only ten such cases exist in the world with this rare mutation. Our case would be the 11th case in the world and 1st in Pakistan according to the literature, reporting above mentioned mutation. Conclusion: Further translational study is required to accurately utilize genomic data as an instrument of precision treatment in thalassemia patients, especially in underdeveloped countries like Pakistan.
